SalesForce Certified AI Associate Salesforce Certified AI Associate 09 31Oct2024 - Practice Quiz

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Question 1 of 30

A retail company is using Einstein Prediction Builder to forecast customer churn based on various factors such as purchase history, customer service interactions, and demographic information. They have identified three key features: the number of purchases in the last six months, the average customer service response time, and the age of the customer. The company wants to create a model that predicts the likelihood of a customer churning within the next month. If the model outputs a probability score of 0.75 for a particular customer, how should the company interpret this score in the context of their business strategy?

There is a 75% chance that the customer will churn within the next month, indicating a need for proactive retention strategies.

The customer is likely to remain loyal, and no action is required.

The score indicates that the customer has a 75% chance of making a purchase in the next month.

The model is unreliable, and the company should disregard the score.

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